Abstract
The development of a general framework for robust reliability-based design of base-isolated structural systems under uncertain conditions is presented. The uncertainties about the structural parameters as well as the variability of future excitations are characterized in a probabilistic manner. Isolation elements composed of nonlinear lead rubber bearings are used to model the isolation system. The optimal design problem is formulated as a nonlinear constrained minimization problem involving multiple design requirements, including reliability constraints related to the structural performance. Failure events defined by a large number of random variables are used to characterize the reliability of the system. A sequential optimization approach based on global conservative, convex, and separable approximations is implemented for solving the optimization problem. An example problem that considers a 10-story building under stochastic ground excitation illustrates the beneficial effects of base-isolation systems in reducing the superstructure response.
Originalsprog | Engelsk |
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Tidsskrift | International Journal for Uncertainty Quantification |
Vol/bind | 2 |
Udgave nummer | 2 |
Sider (fra-til) | 95-110 |
ISSN | 2152-5080 |
DOI | |
Status | Udgivet - 2012 |
Udgivet eksternt | Ja |